The Library
Geometric error identification method for machine tools based on the spatial body diagonal error model
Tools
Wang, Sitong, He, Gaiyun, Tian, Wenjie, Zhang, Dawei, Song, Yumeng, Yan, Yichen and Xie, Ran (2022) Geometric error identification method for machine tools based on the spatial body diagonal error model. The International Journal of Advanced Manufacturing Technology, 121 (11-12). pp. 7997-8017. doi:10.1007/s00170-022-09633-y ISSN 0268-3768.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1007/s00170-022-09633-y
Abstract
For the identification of the geometric error in the CNC machine tools, this paper proposes a geometric error identification method for machine tools based on the spatial body diagonal error model. A body diagonal error measurement method is proposed to obtain the spatial error, which avoids repeated installation errors. In order to address the pathological problem in geometric error identification, a two-step regularization method based on the spatial body diagonal error model is proposed. Firstly, the mapping relationship between the geometric error of the machine tools and the spatial body diagonal error, which is measured by a multibeam laser interferometer, is established. Secondly, a two-step regularization method is adopted to improve the identification accuracy and the stability. Finally, the body diagonal error measurement method is applied to a horizontal three-axis machining center, and the measurement results show that the method is feasible. Simulations and experiments are performed to compare the two-step regularized identification method with the least square identification method, and the results prove the good reliability and validity of the proposed method. Comparing the identification results with the measurement results, the absolute error is less than 4.8584 μm, and the relative error is less than 25.6062%. It shows that the spatial body diagonal error model proposed in this paper is comprehensive, and the geometric error identification method is systematic and universal.
Item Type: | Journal Article | ||||||
---|---|---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Journal or Publication Title: | The International Journal of Advanced Manufacturing Technology | ||||||
Publisher: | Springer-Verlag | ||||||
ISSN: | 0268-3768 | ||||||
Official Date: | 6 August 2022 | ||||||
Dates: |
|
||||||
Volume: | 121 | ||||||
Number: | 11-12 | ||||||
Page Range: | pp. 7997-8017 | ||||||
DOI: | 10.1007/s00170-022-09633-y | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |